Twilio · 9 hours ago
Principal Machine Learning & Data Engineer
Twilio is a company focused on shaping the future of communications, offering innovative solutions to businesses and empowering developers globally. They are seeking a Principal Machine Learning & Data Engineer to lead the design and operation of their internal ML-and-data platform, ensuring reliability, security, and efficiency in customer interactions.
Telecom & CommunicationsEnterprise SoftwareSoftwareAppsMessagingMobile AppsSMS
Responsibilities
Architect and evolve Twilio’s end-to-end ML and real-time data platforms for reliability, security, and cost efficiency
Design scalable feature stores, streaming and batch pipelines, and low-latency model-serving layers on AWS
Implement MLOps best practices—automated testing, CI/CD, monitoring, and rollback—for hundreds of daily deployments
Own system design reviews, threat modeling, and performance tuning for high-volume communications workloads
Lead cross-functional engineering efforts, breaking down complex initiatives into executable roadmaps
Mentor staff and senior engineers, raising the technical bar through code reviews and pair programming
Partner with Product, Security, and Compliance to meet stringent privacy and governance requirements (HIPAA, SOC 2, GDPR)
Champion a culture of experimentation, data-driven decision-making, and continuous improvement
Qualification
Required
Bachelor's or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience
7+ years building and operating production data or machine-learning systems at scale
Expert fluency in Python and one compiled language (Java, Scala, Go, or C++)
Hands-on mastery of distributed data frameworks (Spark/Flink), SQL/NoSQL stores, and streaming platforms (Kafka/Kinesis)
Demonstrated success designing cloud-native architectures on AWS, including Terraform-managed infrastructure
Deep knowledge of container orchestration (Kubernetes/EKS), service-mesh networking, and autoscaling strategies
Practical experience implementing MLOps tooling such as MLflow, Kubeflow, SageMaker, or Vertex AI
Strong grasp of model-lifecycle concerns—feature engineering, offline/online parity, A/B testing, drift detection, and retraining
Proven ability to lead technical projects end-to-end and influence without authority across multiple teams
Exceptional written and verbal communication skills, with a bias toward clarity and action
Preferred
Graduate degree focused on machine learning, distributed systems, or applied statistics
Contributions to open-source ML or data infrastructure projects
Experience with privacy-enhancing technologies (differential privacy, homomorphic encryption) or on-device inference
Background in conversational AI, real-time communications, or large-language-model deployment at scale
Exposure to compliance-heavy environments (HIPAA, PCI-DSS) and secure multi-tenant design patterns
Published research, patents, or conference talks in ML systems or data engineering
Benefits
Health care insurance
401(k) retirement account
Paid sick time
Paid personal time off
Paid parental leave
Company
Twilio
Twilio is a cloud communication company that enables users to use standard web languages to build voice, VoIP, and SMS apps via a web API.
H1B Sponsorship
Twilio has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (215)
2024 (168)
2023 (209)
2022 (369)
2021 (264)
2020 (157)
Funding
Current Stage
Public CompanyTotal Funding
$614.42MKey Investors
Fidelity,T. Rowe PriceFounders Circle CapitalBessemer Venture Partners,Redpoint
2021-07-28Post Ipo Equity· $378.22M
2017-03-08Post Ipo Equity
2016-08-01Post Ipo Equity
Recent News
2026-02-03
2026-01-22
Company data provided by crunchbase